Explore why robust data governance is essential for ethical, compliant, and effective AI deployment in mid-sized organizations, covering regulatory and ethical considerations.
Explore why data quality is paramount for successful AI implementation. Learn about the core components of data quality and actionable strategies to overcome common challenges.
Discover why data readiness is the crucial, often-overlooked foundation for successful AI implementation in mid-sized businesses. Learn about the core components of data readiness and how to avoid common pitfalls.
Why do most businesses struggle to scale AI projects? The answer lies in data readiness. AI’s success depends on high-quality, well-structured data. This article explores key challenges, the role of trusted advisors, and how organizations can optimize their data ecosystems for AI-driven success.
AI & IoT makes everything "smart", or at least that's what they tell us. From smart homes to smart cites and smart grids to smart farms. Let's look how to make a "smart-business"
AI wasn't just enabled by the cloud—it was born there. We detail the technical and economic imperatives that make AI cloud-native, exploring essential use cases from predictive scaling to intelligent FinOps, and why this convergence is the central component of a modern IT strategy.
CX is likely the simplest way get started and reap the benefits of AI. Contact Center solutions have had AI in one form or another for some time now - Now, Generative AI brings a whole new perspective and world of possibilities.
Fast-paced advancements in generative AI will change the core operations of every healthcare organization. AI-driven technology is not just a side project anymore.
Microsoft Cloud pushes Q4 earnings to new heights. Microsoft chairman and CEO Satya Nadella highlighted Microsoft's investment in AI, stating, "With copilots, we are making the age of AI real for people and businesses everywhere. We are rapidly infusing AI across every layer of the tech stack ...
